Optimization models for cancer classification: extracting gene interaction information from microarray expression data.
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Optimized between-group classification: a new jackknife-based gene selection procedure for genome-wide expression data.Identification and optimization of classifier genes from multi-class earthworm microarray datasetDifferential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass gene expression data.Combining multiple hypothesis testing and affinity propagation clustering leads to accurate, robust and sample size independent classification on gene expression data.Class prediction and feature selection with linear optimization for metagenomic count data.A jackknife-like method for classification and uncertainty assessment of multi-category tumor samples using gene expression informationAn integrated method for cancer classification and rule extraction from microarray data.Accurate molecular classification of cancer using simple rulesComparison of two output-coding strategies for multi-class tumor classification using gene expression data and Latent Variable Model as binary classifierOptimization based tumor classification from microarray gene expression data.Microarray-based cancer prediction using single genesUse of gene expression data for predicting continuous phenotypes for animal production and breeding.Comparative hazard characterization in food toxicology.Identification of Marker Genes for Cancer Based on Microarrays Using a Computational Biology Approach.Gene expression based leukemia sub-classification using committee neural networksUnsupervised meta-analysis on diverse gene expression datasets allows insight into gene function and regulation.Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variablesCancer classification from the gene expression profiles by Discriminant Kernel-PLS.
P2860
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P2860
Optimization models for cancer classification: extracting gene interaction information from microarray expression data.
description
2004 nî lūn-bûn
@nan
2004 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Optimization models for cancer ...... om microarray expression data.
@ast
Optimization models for cancer ...... om microarray expression data.
@en
type
label
Optimization models for cancer ...... om microarray expression data.
@ast
Optimization models for cancer ...... om microarray expression data.
@en
prefLabel
Optimization models for cancer ...... om microarray expression data.
@ast
Optimization models for cancer ...... om microarray expression data.
@en
P2093
P356
P1433
P1476
Optimization models for cancer ...... rom microarray expression data
@en
P2093
Alexey V Antonov
Jan Budczies
Michael T Mader
P304
P356
10.1093/BIOINFORMATICS/BTG462
P407
P577
2004-01-22T00:00:00Z